基于改进的超扭曲滑动模式算法的半潜式浮动海上风力涡轮机叶片螺距稳健控制

IF 3.7 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of The Franklin Institute-engineering and Applied Mathematics Pub Date : 2024-09-20 DOI:10.1016/j.jfranklin.2024.107279

Yong-Chao Liu, Hedi Basbas, Salah Laghrouche

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引用次数: 0

摘要

本文针对额定风速以上的半潜式浮动海上风力涡轮机（FOWT）提出了一种新型鲁棒集体叶片变桨控制器（CBPC）。所提出的 CBPC 基于改进的超扭曲滑动模式（MSTSM）算法。首先，基于面向控制的半潜式海上风力涡轮机模型，推导出转子速度和平台变桨率的动态特性，并考虑了由外部干扰、参数不确定性和未建模动态特性组成的叠加干扰。随后，设计了基于 MSTSM 算法的 CBPC（MSTSM-CBPC），用于将发电机功率调节到额定值并减少平台俯仰运动。对增益调度比例积分 CBPC、基于标准 STSM 算法的 CBPC 和所提出的 MSTSM-CBPC 进行了联合仿真比较试验。仿真结果验证了所提出的 MSTSM-CBPC 的有效性和优越性。

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Robust blade pitch control of semi-submersible floating offshore wind turbines based on the modified super-twisting sliding-mode algorithm

In this paper, a novel robust collective blade pitch controller (CBPC) is proposed for the semi-submersible floating offshore wind turbine (FOWT) above the rated wind speed. The proposed CBPC is based on the modified super-twisting sliding-mode (MSTSM) algorithm. Firstly, based on a control-oriented model of the semi-submersible FOWT, the dynamics of the rotor speed and the platform pitch rate considering the lumped disturbances, which consist of external disturbances, parametric uncertainties and unmodeled dynamics, are derived. Afterward, the MSTSM algorithm-based CBPC (MSTSM-CBPC) is designed for regulating the generator power to its rated value and reducing the platform pitching motion. Comparative co-simulation tests among the gain-scheduling proportional-integral CBPC, the standard STSM algorithm-based CBPC and the proposed MSTSM-CBPC are performed. Simulation results validate the effectiveness and the superiority of the proposed MSTSM-CBPC.

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来源期刊

Journal of The Franklin Institute-engineering and Applied Mathematics 工程技术-工程：电子与电气

CiteScore

7.30

自引率

14.60%

发文量

586

审稿时长

6.9 months

期刊介绍： The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.